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Your team picked a RAG pattern 6 months ago. Now you're stuck with it. Here's what actually happens → 1️⃣ 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗥𝗔𝗚 What the architect promised: "Fast, simple, production-ready
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You hit Send on an LLM API call. ~400ms later you get a response. Here's what happens in between: 🔵 API Gateway (~5ms) API key validation → rate limiting → schema check → billing starts. That 429
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Everyone's using Vector DBs for RAG. Almost nobody's asking if it's the right choice. Here's the breakdown: 🔵 Vector DB → finds meaning Embeds your text, searches by similarity. Great for semantic
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The Complete Microsoft AI Stack — mapped out for 2026. 🧠 8 layers. One ecosystem. Every piece connected. From GPT-5.2 and 11,000+ models at the foundation → all the way up to Microsoft 365 Copil
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10 years with Python. I've watched this language quietly become the default across almost every technical field. Not because it's the fastest. Not because of syntax debates. Because it meets people
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I spent weeks living inside Claude Code. Not just using it. Building with it. Breaking it. Here's what most engineers miss: Claude Code isn't a terminal chatbot. It's a 4-layer system: 🧠 CLAUDE.m
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The difference between a demo RAG system and a production RAG system is bigger than most teams realize. Most people still think RAG is just: → Chunk documents → Create embeddings → Store in a vector
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Most people trying to become AI Engineers in 2026 are starting in the wrong place. They jump straight into tools. Prompt engineering. LangChain. Agents. Whatever framework dropped last week. Here'
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Vectorless RAG is quietly changing how we build retrieval systems.And most engineers haven't noticed yet. For 3 years we've been told RAG = embeddings + vector database. Chunk your docs. Embed ever
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The only Claude Code project structure you'll ever need 📁 2 weeks ago I dropped an Agentic AI project structure and the DMs went crazy. Everyone wanted the Claude Code version. So here it is — the
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Most people trying to become AI Engineers in 2026 are starting in the wrong place. They begin with tools. → Prompt engineering → LangChain → Agents → The latest AI frameworks But tools change eve
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The Great Escape Sometimes, the most productive thing you can do is step away from the blueprints and the code to reconnect with the original architect: Nature. There’s something about the Californ
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About @codewithbrij

Brij Kishore Pandey is a verified Instagram macro influencer in the Science, Technology & Engineering category. With 272.8K followers and 1139 posts, codewithbrij's account shows a follower-to-following ratio of 1324.1:1. This profile has significant reach and engagement potential for brand collaborations. View all content anonymously on Pictame - no login required.

codewithbrij's engagement rate sits at 0.23%. For accounts with 100K-500K followers, the average is around 1.8%, so there's some room to grow — though every community is unique.

Out of the last 12 posts, 25% are videos and 75% are photos. Notably, photos tend to get 2.0x more engagement than videos. Content shows up about every 5 days. Captions lean detailed, averaging 1240 characters.

0.23% engagement rate — room to grow compared to average for 100K-500K follower accounts.
25% videos, 75% photos. Photos get 2.0x more engagement here.
Posts about every 5 days.
1324.1:1 follower-to-following ratio.

FAQs About @codewithbrij

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codewithbrij
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@codewithbrij

Brij Kishore Pandey

PublicScience, Technology & Engineering
Posts
1.1K
Top Hashtags
#AIArchitecture#AIEngineering#MachineLearning#LLM#ArtificialIntelligence#RAG#AI#TechContent

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

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Engagement
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🔰 Principal Architect 🧑‍💻 Passionate About Coding and Tech 👉 Simplifying tech world for you. 💻 Follow me here to le...

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